[Call For Paper] IJCLR2026, 6th International Joint Conference on Learning and Reasoning, Valencia, Spain, 16-18 September 2026
César Ferri
6th International Joint Conference on Learning and Reasoning to be held at Universitat Politècnica de València, Valencia, Spain, 16-18 September 2026
https://ijclr2026.webs.upv.es/
Since 2021, IJCLR has aimed at being the conference bringing together
the international AI community that is interested in the research of
integrating learning and reasoning for addressing many of the
shortcomings of contemporary AI approaches, including the black-box
nature and the brittleness of deep learning, and the difficulty to adapt
knowledge representation models in the light of new data.
The authors could submit their papers to the "Main Track" or "Recently
Published Papers Track". Selected conference papers from these two
tracks are also invited to submit a significantly revised and extended
version of their paper to a post-conference special issue of the Machine
Learning Journal (please see below).
Submissions are solicited on all aspects of Learning and Reasoning and
topics where machine learning is combined with machine reasoning or
knowledge representation.
Authors are invited to submit novel, high-quality work that has neither
appeared in nor is under consideration for publication by other journals
or conferences (except for the Recently Published Papers Track).
Topics of interest for the Journal Track include, but are not limited to:
- Theory & foundations of logical & relational learning.
- Learning in various logical representations and formalisms, such as logic programming & answer set programming, first-order & higher-order logic, description logic & ontologies.
- Inductive methods for program synthesis or example-driven programming.
- Combining logic and functional program induction, meta-interpretative learning & predicate invention.
- Statistical Relational AI, including structure/parameter learning for probabilistic logic languages, relational probabilistic graphical models, kernel-based methods, neural-symbolic learning.
- Systems and techniques that integrate neural, statistical & symbolic learning.
- Systems and techniques addressing aspects of integrating learning, reasoning & optimization.
- Knowledge representation and reasoning in deep neural networks.
- Symbolic knowledge extraction from neural and statistical learning models.
- Neural-symbolic AI.
- Techniques that foster explainability & trustworthiness of AI models, including combinations of machine learning with constraints & satisfiability, explainable AI frameworks and reasoning about the behavior of machine learning models.
- Scaling-up logical & relational learning: parallel & distributed learning techniques, online learning and learning structured representations from data streams.
- Human-Like Computing, including Cognitive and AI aspects of perception, action and learning.
- Machine Teaching, including example-based explanations for explainable artificial intelligence (XAI)
Main Track
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Conference papers, describing original work with appropriate experimental evaluation and/or a self-contained theoretical contribution. Submitted conference papers should not have been published, or be under review for a journal, or another conference with published proceedings. Conference papers may be either long papers, of up to 15 pages, including references, or short papers of up to 6-9 pages, including references. Submitted papers should contain a substantial contribution that justifies their length, e.g. proofs of extensive experimental studies. Visit the Important Dates page for the Main Track cut-off dates. Visit the Submission Guidelines page for more information. Papers accepted to the Main Track will be presented at IJCLR.
Recently Published Papers Track:
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IJCLR invites high-quality papers relevant to the scope of the
conference, which have been recently published, or accepted for
publication, by a first-class conference such as IJCAI, AAAI, NeurIPS,
ICML, KDD, ECML/PKDD, ICDM, etc., or journals such as AIJ, MLJ, DMKD,
JMLR, etc. Visit the Important Dates page for the Recently Published
Papers Track cut-off dates. Visit the Submission Guidelines page for
more information. Papers submitted to the “Recently Published Papers
Track” will be accepted on the grounds of relevance and quality of the
original publication venue. Accepted papers will be presented at IJCLR.
Late-breaking Papers, Posters and Demo Track:
######
IJCLR 2026 invites submissions of late-breaking papers, posters, and
demos that present novel ideas, proposals, or system demonstrations
relevant to the IJCLR conference. These may include original work in
progress without conclusive experimental results, or other related
research not yet ready for formal publication. This year, we
particularly welcome system demo submissions showcasing innovative
applications or tools aligned with IJCLR themes. Submissions to this
track must be between 2 to 4 pages in length, including references, and
will be evaluated based on relevance to IJCLR. Visit the Submission
Guidelines page for more information. Accepted contributions will be
published on the conference website (optional, and not required if you
plan to pursue publication elsewhere).
Journal Special Issue:
######
Please note that submissions to the Journal Special Issue for IJCLR
2026 are by invitation only and from the papers submitted to the
conference. A post-conference special issue of the Machine Learning
Journal is planned with papers selected by the PC from the "Main Track"
and “Recently Published Papers Track (conference papers)". The authors
of invited papers should submit a significantly revised and/or extended
version of their conference papers to meet the MLJ criteria, and
re-reviewed by the PC. More information including the deadline and
submission instructions will be sent to the authors of invited papers
and will be also available from the conference website.
Publication:
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Conference papers (either short or long) will be included in the conference proceedings, to be published by Springer Verlag in the Lecture Notes in Artificial Intelligence (LNAI) Series. Late Breaking abstracts will be published on the conference website. A link to recently published papers will be included in the conference website.
Deadlines
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Conference paper submission 31st May 2026
IJCLR 2026 Conference paper notification 20th July 2026
Recently Published Papers TBA
Late-breaking Papers, Posters and Demos TBA